OUDAL

Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen. Towards Fair Disentangled Online Learning for Changing Environments. In Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). Long Beach, CA. 2023. 📕

Jasmine DeHart. Visual Privacy Mitigation Strategies in Social Media Networks and Smart Environments. Doctoral Dissertation. Unversity of Oklahoma. 2023. 🎓

Chenguang Xu. Statistical Anomaly Discovery Through Visualization. Doctoral Dissertation. Unversity of Oklahoma. 2023. 🎓

Yan Liang, Christan Grant. TAED: Topic-Aware Event Detection. The 64th International Studies Association Annual Convention (ISA2023). Montréal, Québec, Canada. 2023.

Yan Liang, Christan Grant. TAED: Topic-Aware Event Detection. The IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BIGDATA - BPOD). Japan. 2022. [pdf] [slides][video]🎒

Yifan Ding, Yan Liang, Nasser Zalmout, Xian Li, Christan Grant, Tim Weninger. Ask-and-Verify: Span Candidate Generation and Verification for Attribute Value Extraction. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). Abu Dhabi, United Arab Emirates. 2022. [pdf] [bibtex]📕

Andrew Elaryan. Question-Answering for Segment Retrieval on Podcast Transcripts. Master Thesis. University of Oklahoma. 2022. 🎓

Yan Liang. Scaling up Labeling, Mining, and Inferencing on Event Extraction. Doctoral dissertation. University of Oklahoma. 2022. 🎓

Jasmine DeHart, Christan Grant. Let me Explain! Exploring Large-Scale Networks with Mechanism Characteristics. Sunbelt Conference, International Network for Social Network Analysis (INSNA) XLII. Cairns, Australia. July 2022. [poster] 📜

Jasmine DeHart, Oluwasijibomi Ajisegiri, Greg Erhardt, Jamie Cleveland, Corey E. Baker, Christan Grant. Becoming a Smart City: A Textual Analysis of the US Smart City Finalists. International Journal on Advances in Intelligent Systems, Vol. 14, No. 1. December 2021. [pdf] [bibtex]💼

Jasmine DeHart, Chenguang Xu, Lisa Egede, Christan Grant. Proposing an Interactive Audit Pipeline for Visual Privacy Research. 2021 IEEE International Conference on Big Data (BigData). Orlando, FL. December 2021. [arXiv] [slides] [bibtex]📕

Makya Stell, Jasmine DeHart, Christan Grant. Visual Security and Safety (VSS). 27th Annual OK-LSAMP Research Symposium. October 2021. 📜🏆

Jasmine DeHart. With fairness and generalizability for all: Kingston, Rhode Island, USA. XRDS: Crossroads, The ACM Magazine for Students. June 2021. [pdf] [bibtex] 📰

Jasmine DeHart. Help!: I need an idea for my dissertation. XRDS: Crossroads, The ACM Magazine for Students. June 2021. [pdf] [bibtex] 📰

Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong. PAM: Understanding Product Images in Cross Product Category Attribute Extraction. In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). Singapore, Singapore. 2021. [bibtex] 📕

Nasser Zalmout, Chenwei Zhang, Xian Li, Yan Liang, Xin Luna Dong. All you need to build a product knowledge graph. In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). Singapore, Singapore. 2021. [website] [bibtex] 🛠️

Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong. AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding. In the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP). Bangkok, Thailand. 2021. [bibtex] 📕

Jasmine DeHart. Network connectivity made easy with the NetRecon lab: Lexington, Kentucky, USA. XRDS: Crossroads, The ACM Magazine for Students. March 2021. [pdf] [bibtex] 📰

Jasmine DeHart. Fast, private, and fair. XRDS: Crossroads, The ACM Magazine for Students. December 2020. [pdf] [bibtex] 📰

Jasmine DeHart, Corey Baker, Christan Grant. Considerations for Designing Private and Inexpensive Smart Cities. The Sixteenth International Conference on Wireless and Mobile Communications (ICWMC). pg 30-33. Porto, Portugal. 2020. [pdf] [slides] [ppt] [bibtex] 📕🏆

Edwin Yang, Song Fang, Christan Grant, Le Gruenwald. PhotoLock: Autonomous Privacy-preserving Photo Sharing in Online Social Networks. In The Network and Distributed System Security Symposium (NDSS). San Diego, CA. 2020. [pdf] [bibtex] 📜

Makya Stell, Jasmine DeHart, Christan Grant. Analysis of Visual Privacy Leaks on Twitter. National Conferences on Undergraduate Research (NCUR). Bozeman, Montana. January 2020.

Jasmine DeHart, Makya Stell, Christan Grant. Social Media and the Scourge of Visual Privacy. Information (MDPI). Special Issue: End of Privacy? 11(2), 57. 2020 [pdf] [bibtex] 💼

Austin Graham. Applied High-Order Singular Value Decomposition for Weight Compression and Expansion in Deep Neural Networks. Master Thesis. University of Oklahoma. 2019. 🎓

Prithviraj Kadiyala. Improving Data Management for Cow and Calf Researchers. Master Thesis. University of Oklahoma. 2019. 🎓

Nina Cesare, Quynh Nguyen, Christan Grant, Elaine Nsoesie. Social Media Captures Demographic and Regional Physical Inactivity. In the British Medical Journal Open Sport and Exercise Medicine Journal (BMJ). 2019. [pdf] [bibtex] 💼

Jasmine DeHart, Lisa Egede, Christan Grant. Exploring Biases in Vision Privacy Protection Techniques. The IEEE Symposium on Security and Privacy (S&P). San Francisco, California. 2019. 📜

Nina Cesare, Christan Grant, Elaine Nsoesie. Understanding Bias and Representation in Social Media Health Data. In the Proceedings of the 11th ACM Conference on Web Science (WebSci), Handeling Web Bias workshop. Boston, MA. 2019. [pdf] [bibtex] 🎒

Oluwashina Madamori, Esther Max-Onakpoya, Christan Grant and Corey Baker. Using Delay Tolerant Networks as a Backbone for Low-cost Smart Cities. In the 5th IEEE International Conference on Smart Computing (SMARTCOMP). Washington, DC. 2019. [code] [pdf] [bibtex] 📕

Nina Cesare, Quynh Nguyen, Christan Grant, Elaine Nsoesie. Social Media Representation and Illness Detection on Social Media: Foodborne Illness as a Case Study. The Annual Meeting Population Association of America (PAA). Austin, Texas. 2019. 📕

Nina Cesare, Christan Grant, Elaine Nsoesie. Representation and Bias in Self-reported Physical Activity Across Social Media Platforms. The Annual Meeting Population Association of America (PAA). Austin, Texas. 2019. 📕

Sarah M. Brown, Chenguang Xu, Christan Grant. Critical Data Exploration with Simpson's Paradox. The 2nd Black in AI Workshop colocated with the Conference on Neural Information Processing Systems (NeurIPS). Montreal, Canada. 2018. [poster] 📜

Sarah M. Brown, Chenguang Xu, Christan Grant. Critical Data Exploration with Simpson's Paradox. The 13th annual Women in Machine Learning Workshop colocated with the Conference on Neural Information Processing Systems (NeurIPS, NIPS). Montreal, Canada. 2018. [poster] 📜

Keerti Banweer, Austin Graham, Nina Cesare, Elaine O. Nsoesie, Joseph T. Ripberger, Christan Grant. Multi-stage Collaborative filtering for Tweet Geolocation. The 2nd ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks (SIGSPATIAL - LocalRec). Seattle, Washington, USA. 2018. [pdf] [bibtex] 🎒

Ashwin Krishna Gunasekaran, Maryan Bahojb Imani, Latifur Khan, Christan Grant, Patrick T. Brant, Jennifer Holmes. SPERG: Scalable Political Event Report Geoparsing in Big Data. IEEE Intelligence and Security Informatics (ISI). Miami, Florida. 2018. [pdf] [slides] [bibtex] 📕

Yan Liang, Khaled Jabr, Christan Grant, Jill Irvine, Andrew Halterman. New Techniques for Coding Political Events Across Languages. IEEE 18th International Conference on Information Reuse and Integration (IRI). Salt Lake City, UT. 2018. [pdf][slides] [bibtex] 📕

Jasmine DeHart, Christan Grant. Visual Content Privacy Leaks on Social Media Networks. The IEEE Symposium on Security and Privacy (S&P). San Francisco, California. 2018. [pdf] [bibtex] 📜

Chenguang Xu, Sarah M. Brown, Christan Grant. Detecting Simpsons Paradox. The 31st International Florida Artificial Intelligence Research Society (FLAIRS) Conference. Melbourne, Florida. 2018. [pdf] [poster] [bibtex] 📕📜

Nina Cesare, Christan Grant, Elaine Nsoesie. Estimating Obesity Prevalence By Age and Gender Using Social Media Data. The Annual Meeting for the Population Association of America (PAA). Denver, CO. 2018. 📕

Chenguang Xu, Sarah M. Brown, Christan Grant, Chris Weaver. Interactive Visual Analytics for Simpson’s Paradox Detection. The 3rd Workshop on Human-In-the-Loop Data Analytics (HILDA). Houston, Texas. 2018. [slides] [poster] [keynote]📕📜

Andrew Halterman, Christan Grant, Jill A. Irvine, Khaled Jabr, Yan Liang, Manar Landis. Creating an Automated Event Data System for Arabic Text. Annual Meeting of the International Studies Association (ISA). San Francisco, CA. 2018. [pdf] [slides] [bibtex] 📕

Austin Graham, Yan Liang, Le Gruenwald, Christan Grant. Formalizing Interruptible Algorithms for Human over-the-loop Analytics. The IEEE International Workshop on Human-Machine Collaboration in BigData (BIGDATA - HMData 2017). Boston, Massachusetts. 2017. [pdf] [slides] [bibtex] 🎒

Yan Liang, Andy Halterman, Phanindra Jalla, Solaimani Mohiuddin, Manar Landis, Jill Irvine, Christan Grant. Adaptive Scalable Pipelines for Political Event Data Generation. The IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BIGDATA - BPOD). Boston, Massachusetts. 2017. [pdf] [slides] [bibtex] 🎒

Elena Montes, Christan Grant. DeepGuidance: Using Neural Networks to Suggest Areas of Study. The 12th Annual Women in Machine Learning Workshop collocated with the Conference on Neural Information Processing Systems (NeurIPS). Long Beach, California. 2017. [pdf] [poster] 📜

Nina Cesare, Christan Grant, Jared Hawkins, John S. Brownstein, Elaine O. Nsoesie. Demographics in Social Media Data for Public Health Research: Does it matter?. Bloomberg Data for Good Exchange. New York, NY, USA. 2017. [pdf] [slides] [bibtex] 📕

Stephen Smart, Christan Grant. Towards Managing Complex Data Sharing Policies with the Min Mask Sketch. IEEE 17th International Conference on Information Reuse and Integration (IR). San Diego, CA, USA. 2017. [pdf] [code] [slides] [pptx] [bibtex] 📕

Stephen Smart, Christan Grant. Storing complex data sharing policies with the Min Mask Sketch. Arxiv. 2017. [pdf] [bibtex]

Nina Cesare, Christan Grant, Elaine O. Nsoesie. Detection of User Demographics on Social Media: A Review of Methods and Recommendations for Best Practices. Arxiv. 2017. [pdf] [bibtex]

Sean Goldberg, Daisy Zhe Wang, Christan Grant. A Probabilistically Integrated System for Crowd-Assisted Text Labeling and Extraction. Journal of Data and Information Quality (JDIQ). Volume 8, Issue 2, Article 10 (February 2017), 23 pages. 2017. [pdf] [bibtex] 💼

Jared Bond, Christan Grant, Joshua Imbriani, Erik Holbrook. A Framework for Interactive t-SNE Clustering . International Journal of Software and Informatics (IJSI) special issue on Visual Analytics. 2016, 10 (3). [pdf] [bibtex] 💼

Kun Li, Xiaofeng Zhou, Daisy Zhe Wang, Christan Grant, Alin Dobra, Christopher Dudley. In-Database Batch and Query-time Inference over Probabilistic Graphical Models using UDA-GIST. The International Journal on Very Large Data Bases (VLDBJ). 2016. [pdf] [bibtex] 💼

Jared Bond, Christan Grant, Joshua Imbriani, Erik Holbrook. A Framework for Interactive t-SNE Clustering. 2nd International Workshop on DAta mining meets Visual Analytics at big data era In Conjunction with CIKM 2016 (DAVA). 2016. [pdf] 🎒

Erik Holbrook, Christan Grant, Gupreet Kaur, Jared Bond, Josh Imbriani, Elaine Nsoesie. Tweet Geolocation Error Estimation. Ninth International Conference on Geographic Information Science (GIScience). Montreal, Canada. 2016. [pdf] [poster] [bibtex] 📕

Christan Grant, Daisy Zhe Wang, Michael Wick. Query-driven Sampling for Collective Entity Resolution. IEEE 17th International Conference on Information Reuse and Integration (IRI). Pittsburgh, PA, USA. 2016. [pdf] [slides] [bibtex] 📕

Christan Grant, Daisy Zhe Wang. A Challenge for Long-term Knowledge Base Maintenance. Journal of Data and Information Quality (JDIQ). 2015. [pdf] [bibtex] 💼

Christan Grant, Daisy Zhe Wang. Optimizing Sampling-based Entity Resolution over Streaming Documents. The SIAM International Conference on Data Mining Workshop: Big Data and Stream Analytics (SIAM-SDM). Vancouver, British Columbia, Canada. 2015. [pdf] [slides] [poster] [bibtex] 🎒

Christan Grant, Clint Pazhayidam George, Virupaksha Kanjilal, Supriya Nirkhiwale, Daisy Zhe Wang, Joseph N Wilson. A Topic-Based Search, Visualization and Exploration System. The 28th International Florida Artificial Intelligence Research Society (FLAIRS) Conference. Hollywood, Florida. 2015. [pdf] [bibtex] 📕